Journal of Vision

12.8k papers and 155.2k indexed citations i.

About

The 12.8k papers published in Journal of Vision in the last decades have received a total of 155.2k indexed citations. Papers published in Journal of Vision usually cover Cognitive Neuroscience (10.1k papers), Computer Vision and Pattern Recognition (2.3k papers) and Social Psychology (1.8k papers) specifically the topics of Visual perception and processing mechanisms (7.8k papers), Neural dynamics and brain function (2.4k papers) and Neural and Behavioral Psychology Studies (2.1k papers). The most active scholars publishing in Journal of Vision are Nikolaus F. Troje, Benjamin W. Tatler, Karl R. Gegenfurtner, Martin S. Banks, Miguel P. Eckstein, Zhong‐Lin Lu, Andrew B. Watson, Bruno Rossion, Christof Koch and Marc O. Ernst.

In The Last Decade

Fields of papers published in Journal of Vision

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Vision. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Vision.

Countries where authors publish in Journal of Vision

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Vision. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of Vision with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Vision more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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